You’ll be able to see some patterns have started to emerge! For example, images in parks, such as Hyde Park and Regent’s Park, have generally been rated as more scenic. The highest rated images also seem to often be abundant in nature.

However, to see clearer patterns we need more votes per image. This helps to build a consensus on the scenicness of an image, rather than it being overly driven by a single individual’s perception of how scenic an image might be.

For example, for our paper “Quantifying the Impact of Scenic Environments on Health” we used 929,125 ratings of over 129,056 images to create the map below. Only images that had been rated 3 or more times were included in this analysis. You can see that places in which people like to go hiking such as the the Lake District are clearly rated as more scenic, while cities in general are less scenic.

We will continue to gather more votes for the images, and once we’ve collected more votes per image, we will carry out a careful analysis of this dataset. We’ll keep you up to date with our findings!

We hope you enjoyed this exercise, and that you now have a greater understanding of how crowdsourcing with online games can help us measure aspects of the world that may not have otherwise been very easy to measure. Thank you all once again for taking part!